ArticleMovement disorders : official journal of the Movement Disorder Society2023
Spectral Topography of the Subthalamic Nucleus to Inform Next-Generation Deep Brain Stimulation.
Article in Movement disorders : official journal of the Movement Disorder Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 26 citations in OpenAlex.
- Spatial propagation of movement-related basal ganglia activity predicts parkinsonian motor state.Brain : a journal of neurology · 2026Article
- Advanced Therapeutics in Parkinson's Disease: What's New?Current neurology and neuroscience reports · 2026Review
- Clinical utility of evoked potentials for programming subthalamic deep brain stimulation in Parkinsons disease.NPJ Parkinson's disease · 2026Review
- Low-frequency activity in the subthalamic nucleus informs about the acute neuropsychiatric state in Parkinson's disease.NPJ Parkinson's disease · 2026Article
- Beyond beta rhythms: subthalamic aperiodic broadband power scales with Parkinson's disease severity-a cross-sectional multicentre study.EBioMedicine · 2025Article
- Electrophysiological signatures predict the therapeutic window of deep brain stimulation electrode contacts.NPJ digital medicine · 2025Article
- Deep brain stimulation-induced local evoked potentials outperform spectral features in spatial and clinical STN mapping.Journal of neural engineering · 2025Article
- Deep brain stimulation-induced local evoked potentials outperform spectral features in spatial and clinical STN mapping.medRxiv : the preprint server for health sciences · 2025Article
- Finely Tuned γ Tracks Medication Cycles in Parkinson's Disease: An Ambulatory Brain-Sense Study.Movement disorders : official journal of the Movement Disorder Society · 2025Article
- Spike-phase coupling of subthalamic neurons to posterior perisylvian cortex predicts speech sound accuracy.Nature communications · 2025Article
- Neurophysiological gradient in the Parkinsonian subthalamic nucleus as a marker for motor symptoms and apathy.NPJ Parkinson's disease · 2025Article
- Machine learning explains response variability of deep brain stimulation on Parkinson's disease quality of life.NPJ digital medicine · 2024Article
- Current and future applications of local field potential-guided programming for Parkinson's disease with the Percept™ rechargeable neurostimulator.Neurodegenerative disease management · 2024Review
Corrections and comments
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Authors and funding
14 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundThe landscape of neurophysiological symptoms and behavioral biomarkers in basal ganglia signals for movement disorders is expanding. The clinical translation of sensing-based deep brain stimulation (DBS) also requires a thorough understanding of the anatomical organization of spectral biomarkers within the subthalamic nucleus (STN).
objectivesThe aims were to systematically investigate the spectral topography, including a wide range of sub-bands in STN local field potentials (LFP) of Parkinson's disease (PD) patients, and to evaluate its predictive performance for clinical response to DBS.
methodsSTN-LFPs were recorded from 70 PD patients (130 hemispheres) awake and at rest using multicontact DBS electrodes. A comprehensive spatial characterization, including hot spot localization and focality estimation, was performed for multiple sub-bands (delta, theta, alpha, low-beta, high-beta, low-gamma, high-gamma, and fast-gamma (FG) as well as low- and fast high-frequency oscillations [HFO]) and compared to the clinical hot spot for rigidity response to DBS. A spectral biomarker map was established and used to predict the clinical response to DBS.
resultsThe STN shows a heterogeneous topographic distribution of different spectral biomarkers, with the strongest segregation in the inferior-superior axis. Relative to the superiorly localized beta hot spot, HFOs (FG, slow HFO) were localized up to 2 mm more inferiorly. Beta oscillations are spatially more spread compared to other sub-bands. Both the spatial proximity of contacts to the beta hot spot and the distance to higher-frequency hot spots were predictive for the best rigidity response to DBS.
conclusionsThe spatial segregation and properties of spectral biomarkers within the DBS target structure can additionally be informative for the implementation of next-generation sensing-based DBS. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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